Could anyone help to solve this problem or just explain to me why this error appears?I want the parametres of neural network are exactly the same as in my process (to change NN's parametres is not an option).Thanks in advance to everyone who will answer.

I can't explain the error to you, but (sorry for that) I can propose to activate the "normalize" parameter in the Neural Net. That can work around some numerical problems that obviously occur with your data set.

Best regards,Marius

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It seems that the error is due to a very heavy weights in nodes of NN. These extremely heavy weights lead to a crash with an error when the output of NN is greater than the allowable size of the numbers (it's the "double" as I see). Although, I think the program should report the type and cause of error. That's not simple to understand what goes wrong when it's not.By the way, if the problem is heavy weights and divergent process, it's not an error, it is one of the possible behaviors of the normal model. I think the program should know how to interpret this situation without any errors stopping the computation.